Native Adversariality Mining (NAM) is a framework for discovering more informative and challenging synthetic samples from diffusion models, helping synthetic data better improve downstream model generalization.
JackCD99/Native-Adversariality-Mining: Native Adversariality Mining (NAM) is a framework for discovering more informative and challenging synthetic samples from diffusion models, helping synthetic data better improve downstream model generalization.
